AI RESEARCH
Maritime object classification with SAR imagery using quantum kernel methods
arXiv CS.LG
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ArXi:2512.11367v2 Announce Type: replace-cross Illegal, unreported, and unregulated (IUU) fishing causes global economic losses of 10-25B USD annually and undermines marine sustainability and governance. Synthetic Aperture Radar (SAR) provides reliable maritime surveillance under all weather and lighting conditions, but classifying small maritime objects in SAR imagery remains challenging. We investigate quantum machine learning for this task, focusing on quantum kernel methods (QKMs) applied to real and complex SAR chips extracted from the SARFish dataset.